Analysis of voltage stability enhancement of a grid and loss reduction using series FACTS controllers

An adaptive operation strategy for on-demand control of DMFC system is proposed as an alternative method to enhance the voltage stability. Based on a single-cell DMFC stack, a newly simplified semi-empirical model is developed from the uniform-designed experimental results to describe the I-V relationship. Integrated with this model, the multi-objective optimization method is utilized to develop an adaptive operation strategy. Although the voltage instability is frequently encountered in unoptimized operations, the voltage deviation is successfully decreased to a required level by adaptive operations with operational adjustments. Moreover, the adaptive operations are also found to be able to extend the range of operating current density or to decrease the voltage deviation according to ones requirements. Numerical simulations are implemented to investigate the underlying mechanisms of the proposed adaptive operation strategy, and experimental adaptive operations are also performed on another DMFC system to validate the adaptive operation strategy. Preliminary experimental study shows a rapid response of DMFC system to the operational adjustment, which further validates the effectiveness and feasibility of the adaptive operation strategy in practical applications. The proposed strategy contributes to a guideline for the better control of output voltage from operating DMFC systems.

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Galerkin method-based model predictive control for mid-long term voltage stability enhancement

IET Generation Transmission & Distribution ◽

10.1049/iet-gtd.2019.1952 ◽

2020 ◽

Vol 14 (22) ◽

pp. 5302-5309

Author(s):

Bingqing Xia ◽

Hao Wu ◽

Danfeng Shen ◽

Xiang Zheng ◽

Wen Hua ◽

...

Keyword(s):

Model Predictive Control ◽

Galerkin Method ◽

Predictive Control ◽

Voltage Stability ◽

Voltage Stability Enhancement ◽

Stability Enhancement

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Self-Adaptive Firefly-Algorithm-Based Unified Power Flow Controller Placement with Single Objectives

Complexity ◽

10.1155/2021/5571434 ◽

2021 ◽

Vol 2021 ◽

pp. 1-14

Author(s):

Selvarasu Ranganathan ◽

S. Rajkumar

Keyword(s):

Power Loss ◽

Power Flow ◽

Unified Power Flow Controller ◽

Loss Reduction ◽

Voltage Profile ◽

Power Loss Reduction ◽

Voltage Stability Enhancement ◽

Stability Enhancement ◽

Power Flow Controller ◽

Voltage Profile Improvement

The selection of positions for unified power flow controller (UPFC) placement in transmission network is an essential factor, which aids in operating the system in a more reliable and secured manner. This paper focuses on strengthening the power system performance through UPFC placement employing self-adaptive firefly algorithm (SAFA), which selects the best positions along with parameters for UPFC placement. Three single objectives of real power loss reduction, voltage profile improvement, and voltage stability enhancement are considered in this work. IEEE 14, 30, and 57 test systems are selected to accomplish the simulations and to reveal the efficacy of the proposed SAFA approach; besides, solutions are compared with two other algorithms solutions of honey bee algorithm (HBA) and bacterial foraging algorithm (BFA). The proposed SAFA contributes real power loss reduction, voltage profile improvement, and voltage stability enhancement by optimally choosing the placement for UPFC.

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